260312 VO+UE Scientific Computing (programming languages and tools, basic algorithms) (2008S)
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Details
max. 20 participants
Language: German
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
Friday
07.03.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
14.03.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
21.03.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
28.03.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
04.04.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
11.04.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
18.04.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
25.04.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
02.05.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
09.05.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
16.05.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
23.05.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
30.05.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
06.06.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
13.06.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
20.06.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday
27.06.
13:00 - 15:15
Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
Understanding of the course.
Examination topics
Corresponding to the type of the course
Reading list
Skriptum: http://www.exp.univie.ac.at/sc/
Association in the course directory
PD250
Last modified: Mo 07.09.2020 15:41
Designed for second year students of scientific or medical/technical disciplines, this course offers a selection of the most basic numerical methods and introduces the tools necessary to implement the algorithms in software, analyze the results, and present them in graphical form - the typical steps required when preparing a lab report or writing up a diploma thesis.
The course is PC/Unix (Linux) oriented and largely based on public domain software. Topics covered are
* operating system
* programming languages
* scripting languages
* graphical representation
* scientific text processing
as well as numerical methods including
* numerical integration
* ordinary differential equations
* (simple) partial differential equations
* linear equations
* non-linear equations
* Fourier analysis
* curve fitting
* Monte Carlo methods
* simulation